The Community for Technology Leaders
Green Image
Issue No. 02 - February (2012 vol. 18)
ISSN: 1077-2626
pp: 261-269
Lakulish Antani , University of North Carolina at Chapel Hill, Chapel Hill
Anish Chandak , University of North Carolina at Chapel Hill, Chapel Hill
Micah Taylor , University of North Carolina at Chapel Hill, Chapel Hill
Dinesh Manocha , University of North Carolina at Chapel Hill, Chapel Hill
ABSTRACT
We present an efficient algorithm for simulating diffuse reflections of sound in a static scene. Our approach is built on recent advances in precomputed light transport techniques for visual rendering and uses them to develop an improved acoustic radiance transfer technique. We precompute a direct-to-indirect acoustic transfer operator for a scene, and use it to map direct sound incident on the surfaces of the scene to multibounce diffuse indirect sound, which is gathered at the listener to compute the final impulse response. Our algorithm decouples the transfer operator from the source position so we can efficiently update the acoustic response at the listener when the source moves. We highlight its performance on various benchmarks and observe significant speedups over prior methods based on acoustic radiance transfer.
INDEX TERMS
Sound propagation, radiosity, virtual reality, precomputed transport.
CITATION

D. Manocha, L. Antani, M. Taylor and A. Chandak, "Direct-to-Indirect Acoustic Radiance Transfer," in IEEE Transactions on Visualization & Computer Graphics, vol. 18, no. , pp. 261-269, 2011.
doi:10.1109/TVCG.2011.76
94 ms
(Ver 3.3 (11022016))